Help build and maintain the core infrastructure that powers Quora's ML platform, ensuring high availability, scalability, and performance

Build and improve the distributed systems that serve our ML models in production, from Large Recommendation Models (LRMs) to Large Language Models (LLMs)

Work on GPU model serving, optimizing latency, throughput, and cost to support larger and more capable models

Contribute to platform initiatives such as PyTorch-first standardization and ML ecosystem modernization

Improve ML developer velocity by building tooling that helps ML engineers develop, test, and deploy models more efficiently

Modernize our feature store so ML engineers can get new features into production faster

Participate in the team's on-call rotation, helping resolve production issues as you grow your knowledge and ownership of the platform

Minimum Requirements:

Availability for meetings and impromptu communication during Quora's "coordination hours" (Mon-Fri: 9am-3pm Pacific Time)

A 2025 or 2026 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related technical field

Genuine interest in large-scale distributed systems, infrastructure, and machine learning

Knowledge of Python, Go, or C++, or the ability to learn them quickly

Machine Learning Engineer, New Grad - Quora (Remote)

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Quora

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